Unlike the implicit way for domain-invariant feature detection utilized by the vanilla adversarial learning framework [1]}, [2]}, the information bottleneck chooses an explicitly constraint to filter out the unwanted information during the adaptation. And therefore, introducing an IB into adversarial learning framework combines the respective advantages in this aspect and makes distilling domain-invariant information between different domains more effectively and efficiently, which is proven in the experiment of this work.
